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Bad news - people don't buy your product. Better news - they don't buy anyone else's product either. Best news - they do buy what a product gives them, whether it be removing 'pain' or giving 'pleasure'. So what a challenge it is that every single person buys your product for a slightly different reason! What's the secret to selling in that sort of sales environment? This programme provides a great roadmap. This course will help participants: Build rapport with authenticity Use open questions, listening and summary to properly understand the prospect Use 'impact' questions to 'stack the pain' of remaining with the status quo Convert features into personalised benefits that reflect stated needs Handle objections with calm confidence Identify buying signals Close effectively Convey credible urgency centred on the prospect's - not the salesperson's - interests 1 What makes a customer buy any product? Moving towards 'pleasure' Moving away from 'pain' Robert Cialdini's Psychology of Influence - buying motives Understanding what your product does for customers Why there is never a 'one size fits all' approach What are the real 'unique selling points' and why the salesperson is the real 'USP' At what point does the customer emotionally buy your product? 2 Getting past gatekeepers What gatekeepers' motivations are How to make them your friend rather than your enemy How to make your call harder to block than to put through How to control the gatekeeper with questions, not answers Using Cialdini's 'reciprocity' law to get put through more often Practical exercise in which the trainer poses as gatekeeper 3 Questioning and listening skills How to use open questions to get the customer talking What questions to avoid and why How to 'stack the pain' of the status quo with 'impact questions' Practical 'pain stacking' exercise in pairs What listening is and what it isn't Question funnelling - how to earn deeper disclosure through probing Practical funnelling exercise in pairs The power of summary 4 How to create tailored benefits and not 'dive into solution' What is 'diving into solution'? Examples and analogies Why it is to be avoided Practical exercise in pairs - how it feels to have solutions offered up too early How to avoid 'feature-dumping' What is 'value selling'? How to create tailored benefits How to convert product features into benefits How to deal with the prospect's competitor allegiance 5 Handling objections and testing the water How to overcome the price objection by selling value Common objections the participants encounter and answers that work The objections salespeople carry in their own heads The 'A-C-E' objection-handling model How to uncover objections When - and when not - to trial close 6 Closing skills Why salespeople often close too early How to identify buying signals How to use urgency with skill and effectiveness Four killer closing techniques that work How to avoid buying the product back by careless post-sale talk How to ask for referrals for your product How to 'farm' the account for future opportunities 7 Wrap-up Key learnings from each participant Individual action planning - steps that can and will be implemented in the workplace

The leadership role of the project manager is increasingly recognised as a key determinant in delivering success. These skills can often be critical in project situations, where tight budgets and deadlines demand the highest levels of team performance and where the working environment presents fresh challenges on a daily basis. This programme focuses on the leadership skills required of project managers and will benefit anyone involved in managing projects large or small wishing to extend or enhance those skills. The objectives of this programme are to help the participants: Understand the significance of leadership skills to the project manager and the impact of these skills on project performance Review the key skills needed to be an effective 'multi-dimensional' project leader and learn how to develop, adapt and apply them in practice Learn how to identify the preferred leadership style for the context and organisational culture of a project and how to develop personal style versatility Understand the role of the project leader in building an effective team and the skills required to promote and sustain team performance Gain a better understanding of the interpersonal skills needed to motivate individual team members and harness the full potential of the team DAY ONE 1 Introduction Aims and objectives Personal objectives 2 Project management and leadership What is a leader? How much can leadership be learned? The project environment and the impact of leadership skills The characteristics of high performance project teams and their leaders 3 Principles of effective leadership Some useful models and theories of leadership explored Types of leadership; choosing how to use leadership power Evaluating personal leadership style; how to develop style flexibility 4 Syndicate case study: Leadership in action Review of the role of leadership in a contemporary project Feedback and plenary discussion: effective project leadership 5 Team exercise: Leadership skills of the project manager Teams compete in performing a project simulation Project review and feedback Discussion of the outcome: role and skills of the project leader 6 Leadership skills for project managers The 3 dimensions of project leadership: inwards, outwards, and upwards The vital role of communication skills and how to develop them Developing a 'project vision': strategic thinking skills Understanding others; emotional intelligence skills Being a visible leader; behavioural and influencing skills Building effective relationships; the importance of trust and respect DAY TWO 7 Leading the project team The role of leadership in developing team performance Understanding individual strengths; recognising team role preferences Managing conflict and promoting positive team dynamics Setting standards, maintaining discipline and rewarding performance Harnessing team potential: building motivation within the team Promoting team learning; the team leader as coach / mentor 8 Leading through the organisation Gaining the support others; developing effective influencing skills Getting empowerment from key stakeholders Knowing when and how to take the initiative and lead Building and maintaining rapport with key partners Becoming an effective team player in leadership teams Becoming a business leader; leading colleagues and co-workers 9 Team exercise: Leadership and negotiation Teams engage in a negotiation exercise Exercise review and feedback Discussion of the outcome: negotiation skills of the project leader 10 Negotiation skills for project leaders Characteristics of effective negotiators Classic problem behaviours and mind-sets to avoid Getting to win-win; building partnership and trust 11 Leading more senior stakeholders The challenges and skills of leading and managing upwards Communicating with more senior stakeholders; building credibility Negotiating upwards: knowing when and how The role of networking skills; building and maintaining rapport Handling disagreements; the art of diplomacy Handling personality and style conflicts with more senior people

Details A high energy dance party to get us moving and grooving. Expect a mix of music from 90s Boyband to Disco, Broadway classics to Latin tunes. We’ll start with a warm up then build up a routine then stretch it out. Classes are done via Facebook Live in a closed group so you can join live or replay (as many times as you like) at a time that suits you.   Instructions Find a clear and adequate space in your home with suitable flooring. Wear comfortable clothing and have water nearby. This class is suitable for all ages and abilities but please make sure you work within your own limits and what is safe for you. By joining in these online sessions you are doing so at your own risk. If you have any health concerns or are new to exercise please speak to your doctor before joining in.

Higher Education Women's Leadership Workshop is for academics looking to learn new skills with like-minded academics and further or advance their academic career.

This practical, enjoyable day will give you the tools to go and do your job effectively and the opportunity to practise using them in a safe and supportive environment before putting them into practice for real back in the workplace. To inspire, you need to be inspired!Having the right set of skills, tools and techniques helps us to manage in a productive and beneficial way. Above all, the workshop will inspire you with the determination to engage with the people you manage to produce greater levels of achievement. This workshop will enable you to: Understand what the role of the manager is Engage and inspire a team to perform Recognise the range of styles appropriate for different situations and how your communication style impacts Provide clear direction on your team's purpose, role and responsibilities Understand how to create a motivating environment for those who report to you Hold them accountable for delivery Hold performance conversations Review and evaluate your learning and have a plan to take back and implement at work 1 Bringing the role to life Starting the day with sharing your current ideals and approaches using the pre workshop task Understanding what you bring to your role and your objectives for the day 2 The role and responsibilities of a manager: an overview Responsibility and accountability Producing results Managing teams Developing individuals 3 Communication excellence The model of a team communicator What type of communicator are you and what about your team? Practical interactive group exercise 4 Your role as a team leader - shaping how we work using the organisation's values Your role Your team's role Enabling your team to deliver in a changing mindset 5 Engaging and motivating your team Exercise: using a leadership model to explore how you are enabling your team to engage with current change, what's getting in the way and how you will manage this in your organisational context Peer and group task and discussion 6 Addressing motivation at team and individual level in times of change Exercises:Identifying approaches to motivating people at work based on a work based model of motivation: team taskExploring a behavioural model of motivation: team discussion Review in plenary 7 Holding people accountable The work cycle model of team performance: Agree purposeSet objectivesMonitor performanceProvide feedbackCompliance vs. commitment Professional discussion in small groups Exercise: Practising short conversations using peer coaching support 8 Review of learning and action planning Personal review and action planning Group review of learning Evaluation

This intensive one-day IACCM-approved programme helps participants develop the skills, knowledge and competencies required to plan for and carry out effective negotiations in a range of different environments. By the end of the programme participants will be able to: Understand the basic concepts of negotiation and how it adds value to the organisation Recognise the stages of negotiation and the skills required at each stage Make use of tried-and-tested negotiation planning tools Apply a range of negotiation tools and techniques to support the organisation in obtaining value for money, quality and fit-for-purpose outcomes Set negotiation objectives Appreciate the importance of interpersonal skills in maximising the opportunities for reaching win/win agreements 1 Welcome Introductions Aims and objectives Plan for the day 2 Why negotiate? Understanding the negotiation context Negotiating with suppliers Negotiating with stakeholders 3 Understanding the process The phases of negotiation and what to do in each phase Before During After 4 Planning Appreciating the importance of planning Different approaches Identifying the key variables Setting objectives for each of them Practical negotiation planning exercise 5 Doing The key skills required, Communication Numeracy empathy Applying these skills in a role play: practical exercise 6 Close Review of key learning points Personal action planning

Emotional Intelligence, EQ, EI, Moccasin Approach, Moccasin Manager,

Official BRCGS Food Safety Issue 9 Lead Auditor training course. Delivered online (Zoom) by a live BRCGS Approved Training Partner & Virtual Trainer. Exam and Certificate fee included in the price.

Duration 5 Days 30 CPD hours This course is intended for This intermediate course is appropriate for experienced UNIX system administrators who want to support AIX running on POWER processor based systems in a mult-iuser POWER (System p) partitioned environment. Overview At course completion, you will be able to:- Install the AIX operating system, filesets, and RedHat Package Manager (RPM) packages - Perform system startup and shutdown - Discuss and use system management tools such as System Management Interface Tool (SMIT) and IBM systems director console for AIX - Manage physical and logical devices - Discuss the purpose of the logical volume manager - Perform logical volume and file system management - Perform and restore system backups - Use the AIX error log as a tool in problem determination - Configure TCP/IP networking Students will learn to install, customize and administer the AIX operating system in a multi-user POWER (System p) partitioned environment. Introduction to AIX and IBM Power systems AIX system management tools AIX software installation and maintenance System configuration and devices TCP/IP networking System startup and shutdown Basics of configuring logical partitions AIX installation Working with the Logical Volume Manager File systems administration The Object Data Manager LVM metadata Disk management procedures Backup and restore Error monitoring System initialization - I System initialization - II (00:35) Exercise 17 (00:25) Unit 18: The AIX system dump facility (00:15) Exercise 18 Advanced install techniques Alternate disk installation Alternate disk - part 1 (pre-clone) Using multibos Alternate disk - part 2 (post-clone) multibos Appendix A: Survey of additional AIX facilities

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm